Large Language ModelLLM
AI trained on vast text to understand and generate language.
A Large Language Model is a neural network with billions of parameters trained on an enormous corpus of text — books, websites, code, papers. Through training it learns grammar, facts, reasoning patterns, and style, all encoded as numeric weights.
At inference time you give it a prompt; it predicts the most likely continuation one token at a time. Despite that simple mechanism, emergent capabilities — summarising, coding, reasoning, translating — are profound.
"Large" refers to parameter count. More parameters generally means broader knowledge and more nuanced understanding, at the cost of compute and latency.
In plain terms
An LLM is like someone who has read the entire internet and can discuss any topic fluently — but hasn't lived any of it.